{"id":"W3105394426","doi":"10.1051/0004-6361/201629403/pdf","title":"From dense hot Jupiter to low-density Neptune: The discovery of WASP-127b, WASP-136b, and WASP-138b","year":2017,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Fonds De La Recherche Scientifique - FNRS; Science and Technology Facilities Council; European Commission; Centre National de la Recherche Scientifique; Liverpool John Moores University; University of Warwick; UK Space Agency","keywords":"Planet; Hot Jupiter; Physics; Exoplanet; Neptune; Astronomy; Astrophysics; Gas giant; RADIUS; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000147427,0.0003395079,0.0003292961,0.001157532,0.0008433315,0.0009440018,0.000392672,0.0004794777,0.0009479338],"category_scores_gemma":[0.000481023,0.0002459482,0.0001906915,0.0008978286,0.0007436033,0.0004627202,0.00123751,0.0006871815,0.0004984943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467289,"about_ca_system_score_gemma":0.0001532244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003151682,"about_ca_topic_score_gemma":0.003470902,"domain_scores_codex":[0.9998449,0.000007305367,0.000006015206,0.00005750842,0.00005364712,0.0000306203],"domain_scores_gemma":[0.9996673,0.0000255728,0.000105504,0.00002809962,0.00002915096,0.0001443499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007886091,0.00009267143,0.7879053,0.0001955032,0.0001517365,0.01416722,0.002884078,0.0001104593,0.1395717,0.001040619,0.002909692,0.05018242],"study_design_scores_gemma":[0.00003060228,0.000160854,0.9298215,0.00005559804,0.00006975592,0.03092005,0.00113742,0.000311331,0.007626287,0.0005974634,0.0292467,0.00002235925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956862,0.001134601,0.0003324443,0.0002065932,0.00001773983,0.000008035058,0.0002567363,0.00002689987,0.002330812],"genre_scores_gemma":[0.9967055,0.0006804978,0.0007717871,0.0001395808,0.00003589005,0.000007067035,0.0008086162,0.00001895458,0.0008322489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003151682,"threshold_uncertainty_score":0.006266654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131304177004975,"score_gpt":0.2273104409195787,"score_spread":0.215997399149529,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}